research-article

A Robust Algorithm for Hand-forearm Segmentation

Authors:

Gourav Modanwal,

Purnendu Mishra,

Kishor SarawadekarAuthors Info & Claims

ICIGP '18: Proceedings of the 2018 International Conference on Image and Graphics Processing

Pages 102 - 105

https://doi.org/10.1145/3191442.3191469

Published: 24 February 2018 Publication History

Abstract

Despite lots of work in gesture recognition, very little work is done in hand-forearm segmentation. Most of the previous work have overlooked this step by imposing restriction on users. This work presents a novel algorithm for hand-forearm segmentation. The proposed algorithm is inspired and based on the observation of human hand anatomy. Experiments are performed with RGB-D sensor to show the robustness of our algorithm. Additionally, we have compared the performance of our algorithm with the state of the art methods on HGR1 database. The comparative result shows that the presented method performs better than the other state of the art methods. The proposed algorithm is invariant to rotation, scale & translation changes. The advantage of our approach is that users do not require to wear any band/full sleeve shirt.

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Cited By

Narayan SGajrani JJain VJat D(2024)HySeg-Net: A Robust Interactive Hybrid Technique for Image Segmentation and Classification in Hand Gesture RecognitionAdvances in Information Communication Technology and Computing10.1007/978-981-97-6106-7_9(175-191)Online publication date: 27-Oct-2024
https://doi.org/10.1007/978-981-97-6106-7_9
Mishra PSarawadekar K(2022)Fingertips Detection With Nearest-Neighbor Pose Particles From a Single RGB ImageIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.309548932:5(3001-3011)Online publication date: May-2022
https://doi.org/10.1109/TCSVT.2021.3095489
Modanwal GSarawadekar K(2019)Utilizing gestures to enable visually impaired for computer interactionCSI Transactions on ICT10.1007/s40012-019-00251-w7:2(117-121)Online publication date: 3-Jun-2019
https://doi.org/10.1007/s40012-019-00251-w

Index Terms

A Robust Algorithm for Hand-forearm Segmentation
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction techniques
      1. Gestural input
  2. Interaction design
    1. Interaction design process and methods
      1. User interface design

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cover image ACM Other conferences

ICIGP '18: Proceedings of the 2018 International Conference on Image and Graphics Processing

February 2018

183 pages

ISBN:9781450363679

DOI:10.1145/3191442

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Wuhan Univ.: Wuhan University, China

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2018

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ICIGP 2018

ICIGP 2018: 2018 International Conference on Image and Graphics Processing

February 24 - 26, 2018

Hong Kong, Hong Kong

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Cited By

Narayan SGajrani JJain VJat D(2024)HySeg-Net: A Robust Interactive Hybrid Technique for Image Segmentation and Classification in Hand Gesture RecognitionAdvances in Information Communication Technology and Computing10.1007/978-981-97-6106-7_9(175-191)Online publication date: 27-Oct-2024
https://doi.org/10.1007/978-981-97-6106-7_9
Mishra PSarawadekar K(2022)Fingertips Detection With Nearest-Neighbor Pose Particles From a Single RGB ImageIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2021.309548932:5(3001-3011)Online publication date: May-2022
https://doi.org/10.1109/TCSVT.2021.3095489
Modanwal GSarawadekar K(2019)Utilizing gestures to enable visually impaired for computer interactionCSI Transactions on ICT10.1007/s40012-019-00251-w7:2(117-121)Online publication date: 3-Jun-2019
https://doi.org/10.1007/s40012-019-00251-w

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